deprecated: Union[deprecated, str, bool, None] = None,
        include_in_schema: bool = True,
        json_schema_extra: Union[Dict[str, Any], None] = None,
        **extra: Any,
    ):
        self.embed = embed
        self.media_type = media_type
        if example is not _Unset:
            warnings.warn(
                "`example` has been deprecated, please use `examples` instead",

    builder.add(Range.<Integer>all());

    // Add one-ended ranges
    for (int i = MIN_BOUND; i <= MAX_BOUND; i++) {
      for (BoundType type : BoundType.values()) {
        builder.add(Range.upTo(i, type));
        builder.add(Range.downTo(i, type));
      }
    }

    // Add two-ended ranges
    for (int i = MIN_BOUND; i <= MAX_BOUND; i++) {
      for (int j = i + 1; j <= MAX_BOUND; j++) {

기본적으로 **FastAPI**는 직접 본문으로 예측할 것입니다.

하지만, 만약 모델 내용에 `item `키를 가진 JSON으로 예측하길 원한다면, 추가적인 본문 매개변수를 선언한 것처럼 `Body`의 특별한 매개변수인 `embed`를 사용할 수 있습니다:

```Python hl_lines="17"
{!../../docs_src/body_multiple_params/tutorial005.py!}
```

아래 처럼:

```Python
item: Item = Body(..., embed=True)
```

이 경우에 **FastAPI**는 본문을 아래 대신에:

```JSON hl_lines="2"
{
    "name": "Foo",

-   [StackOverflow: Ask "how-to" and "why-didn't-it-work" questions](https://stackoverflow.com/questions/ask?tags=guava+java)
-   [guava-discuss: For open-ended questions and discussion](https://groups.google.com/group/guava-discuss)

## IMPORTANT WARNINGS

1. APIs marked with the `@Beta` annotation at the class or method level

  ): ConnectPlan {
    if (route.address.sslSocketFactory == null) {
      if (ConnectionSpec.CLEARTEXT !in route.address.connectionSpecs) {
        throw UnknownServiceException("CLEARTEXT communication not enabled for client")
      }

      val host = route.address.url.host
      if (!Platform.get().isCleartextTrafficPermitted(host)) {
        throw UnknownServiceException(

}

# concatenates all lines of a file
concat_lines() {
  if [ -f "$1" ]; then
    # Remove \r in case we run on Windows within Git Bash
    # and check out the repository with auto CRLF management
    # enabled. Otherwise, we may read lines that are delimited with
    # \r\n and produce $'-Xarg\r' rather than -Xarg due to word
    # splitting rules.
    tr -s '\r\n' ' ' <"$1"
  fi
}

log() {

and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have...

  // is populated only for the CSIMigration feature. It contains
  // translated fields from a pod's inline VolumeSource to a
  // PersistentVolumeSpec. This field is alpha-level and is only
  // honored by servers that enabled the CSIMigration feature.
  // +optional
  optional k8s.io.api.core.v1.PersistentVolumeSpec inlineVolumeSpec = 2;
}

// VolumeAttachmentSpec is the specification of a VolumeAttachment request.

Но если вы хотите чтобы он ожидал JSON с ключом `item` с содержимым модели внутри, также как это происходит при объявлении дополнительных body-параметров, вы можете использовать специальный параметр `embed` у типа `Body`:

```Python
item: Item = Body(embed=True)
```

так же, как в этом примере:

//// tab | Python 3.10+

```Python hl_lines="17"
{!> ../../docs_src/body_multiple_params/tutorial005_an_py310.py!}
```

 * implementation can be created easily by extending this class and implementing the {@link
 * Multiset#entrySet()} method, plus optionally overriding {@link #add(Object, int)} and {@link
 * #remove(Object, int)} to enable modifications to the multiset.
 *
 * <p>The {@link #count} and {@link #size} implementations all iterate across the set returned by
 * {@link Multiset#entrySet()}, as do many methods acting on the set returned by {@link